Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares  Support Vector Regression

	Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression
	Li, Q. L.; Song, Y.; Hou, Z. G.; Z. G. Hou
发表期刊	NEURAL PROCESSING LETTERS
	2015
期号	3, SI 页码:371-388
摘要	In this paper, a new technique for predicting human lower limb periodic motions from multi-channel surface ElectroMyoGram (sEMG) was proposed on the basis of leastsquares support vector regression (LS-SVR). The sEMG signals were sampled from seven human lower limb muscles. Two channels sEMG were selected and mapped to muscle activation levels for angles estimation based on cross-correlation analysis. To deal with the time delay introduced by low-pass filtering of raw sEMG, a k-order dynamic model was derived to represent the dynamic relationship between the joint angles and muscle activation levels. The dynamic model was built by data driven LS-SVR with radial basis function kernel. The inputs of the LS-SVR are muscle activation levels, and the outputs are joint angles of the hip and knee. In experiments, 48 sEMG-angle datasets sampled from six healthy people were utilized to verify the effectiveness of the proposed method. Result shows that the human lower limb joint angles can be well estimated in different motion conditions.
关键词	Semg Ls-svr Motion Estimation Neural Network
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/19946
专题	复杂系统管理与控制国家重点实验室_先进机器人
通讯作者	Z. G. Hou
推荐引用方式 GB/T 7714	Li, Q. L.,Song, Y.,Hou, Z. G.,et al. Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression[J]. NEURAL PROCESSING LETTERS,2015(3, SI):371-388.
APA	Li, Q. L.,Song, Y.,Hou, Z. G.,&Z. G. Hou.(2015).Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression.NEURAL PROCESSING LETTERS(3, SI),371-388.
MLA	Li, Q. L.,et al."Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression".NEURAL PROCESSING LETTERS .3, SI(2015):371-388.

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